1min chapter

Machine Learning Street Talk (MLST) cover image

Jordan Edwards: ML Engineering and DevOps on AzureML

Machine Learning Street Talk (MLST)

CHAPTER

Is There a Difference Between Model and Data?

A model is just some transformed data. It's going to have the same problems as any other type of data you're dealing with. The model is the function, not the data. You can put data through the model. Does that make a meaningful difference? I thinkto an extent. Rili cot coat is a commodity. Data is gold. So when you put, when you put gold in your applications, all of a sudden things start to matter a lot. Because that's h the whole sticking point of m l versus normal sophoer engineering,. That's where all the complexity comes from.

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